Model Checking with Right Censored Data Using Relative Belief Ratio-Reference-Cited by-同舟云学术

Model Checking with Right Censored Data Using Relative Belief Ratio

Published:2022-10-31 Issue:11 Volume:24 Page:1579
ISSN:1099-4300
Container-title:Entropy
language:en
Short-container-title:Entropy

Author:

Al-Labadi Luai,Alzaatreh Ayman,Asuncion Mark

Abstract

Model checking is a topic of special interest in statistics. When data are censored, the problem becomes more difficult. This paper employs the relative belief ratio and the beta-Stacy process to develop a method for model checking in the presence of right-censored data. The proposed method for the given model of interest compares the concentration of the posterior distribution to the concentration of the prior distribution using a relative belief ratio. We propose a computational algorithm for the method and then illustrate the method through several data analysis examples.

Funder

American University of Sharjah

Publisher

MDPI AG

Subject

General Physics and Astronomy

Link

https://www.mdpi.com/1099-4300/24/11/1579/pdf

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